Triple

T1173196
Position Surface form Disambiguated ID Type / Status
Subject Sino-Tibetan languages E24959 entity
Predicate secondLargestLanguageFamilyBySpeakers P24617 FINISHED
Object true LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Sino-Tibetan languages, secondLargestLanguageFamilyBySpeakers, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondLargestLanguageFamilyBySpeakers
Context triple: [Sino-Tibetan languages, secondLargestLanguageFamilyBySpeakers, true]
  • A. secondMostSpokenLanguage
    Indicates that the related language is the second most widely spoken language associated with the given entity (such as a country, region, or population).
  • B. isOneOfLargestLanguageFamilies
    Indicates that the language family ranks among the largest in terms of number of languages, speakers, or geographic spread.
  • C. languageOfFamily
    Indicates the language or languages commonly used or associated with a particular family.
  • D. languageFamilyDominant
    Indicates that one language family holds a primary or prevailing status over others within a given context (such as a region, population, or system).
  • E. languageFamily
    Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcecab688190b21a926874cd98d1 completed March 1, 2026, 10:25 p.m.
PD Predicate disambiguation batch_69a4bb5656948190b0b1d5446ad06005 completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbd7ff1881908c943ecdfea59e81 completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:45 p.m.